AI in Business: Indian Enterprises Struggle to Turn Pilots into Tangible Value as ChatGPT Growth Revives

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Many Indian businesses have eagerly experimented with artificial intelligence, launching pilots and proofs of concept, but a growing number are realising that these early tests are not yet translating into real commercial value or measurable results. While companies have widely adopted AI tools, most projects remain at the experimental stage rather than being fully integrated into core business processes with clear returns. The persistent gap between ambition and execution has been linked to organisational design issues, such as misaligned decision‑making structures, weak governance, and a lack of robust data infrastructure needed to support scaled implementations.

Despite strong interest and investments in technology, many enterprises find it difficult to move beyond isolated wins or pilot programmes into meaningful operational impact. Firms are still building isolated applications or running limited use cases, but face challenges like fragmented data, unclear ROI measurement, and governance obstacles that prevent broader deployment. Analysts point out that bridging this execution gap will require strategic alignment between leadership and technology teams, clearer metrics for business impact, and a stronger data foundation rather than simply experimenting with tools.

These challenges in enterprise AI adoption stand alongside a broader picture of rapid growth in the global AI landscape. OpenAI’s CEO Sam Altman recently revealed that its flagship chatbot, ChatGPT, has regained strong momentum, achieving over 10 per cent monthly growth in user adoption. The service now attracts hundreds of millions of weekly users and is preparing to launch updated AI models and enhancements, signalling renewed market confidence after earlier performance challenges.

Taken together, these developments illustrate a key trend: while consumer‑facing AI tools like ChatGPT are experiencing a resurgence and broad engagement, many enterprises are still navigating the complex transition from AI experimentation to measurable business transformation.


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